The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-11"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "12717908 (up from 12498467 yesterday: 1.76 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "565138 (up from 560209 yesterday: 0.88 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 3926104

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.44



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3245925 61352 1.93 990806 134777 685 0.51 4.15
Brazil 1839850 39023 2.17 806937 71469 1071 1.52 3.88
India 849522 28606 3.48 439061 22673 550 2.49 2.67
Russia 719449 6586 0.92 143287 11188 188 1.71 1.56
Peru 322710 3064 0.96 71372 11682 182 1.58 3.62
Chile 312029 2755 0.89 75281 6881 100 1.47 2.21
Mexico 295268 6094 2.11 120066 34730 539 1.58 11.76
United Kingdom 290504 826 0.29 -14076 44883 148 0.33 15.45
South Africa 264184 13497 5.38 171503 3971 111 2.88 1.50
Iran 255117 2397 0.95 52533 12635 188 1.51 4.95
Spain 253908 0 0.00 7970 28403 0 0.00 11.19
Pakistan 248872 2521 1.02 72255 5197 74 1.44 2.09
Italy 242827 188 0.08 4552 34945 7 0.02 14.39
Saudi Arabia 229480 2994 1.32 75247 2181 30 1.39 0.95
Turkey 211981 1016 0.48 25488 5344 21 0.39 2.52
France 208015 0 0.00 11291 30007 0 0.00 14.43
Germany 199709 377 0.19 9039 9070 7 0.08 4.54
Bangladesh 181129 2686 1.51 72354 2305 30 1.32 1.27
Colombia 140776 6803 5.08 77322 5202 217 4.35 3.70
Canada 109150 166 0.15 6388 8818 7 0.08 8.08
Qatar 103128 498 0.49 16640 146 0 0.00 0.14
Argentina 97509 3449 3.67 56305 1810 36 2.03 1.86
China 85071 79 0.09 518 4641 0 0.00 5.46
Egypt 81158 923 1.15 27400 3769 67 1.81 4.64
Iraq 75194 2734 3.77 45972 3055 95 3.21 4.06
Sweden 74898 0 0.00 18855 5526 0 0.00 7.38
Indonesia 74018 1671 2.31 28989 3535 66 1.90 4.78
Ecuador 67209 2191 3.37 17478 5031 92 1.86 7.49
Belarus 64767 163 0.25 6831 459 5 1.10 0.71
Belgium 62469 112 0.18 1919 9782 1 0.01 15.66
Kazakhstan 58253 1798 3.18 41028 264 0 0.00 0.45
Oman 54697 1083 2.02 26131 248 4 1.64 0.45
United Arab Emirates 54453 403 0.75 9920 331 1 0.30 0.61
Philippines 54222 1308 2.47 24822 1372 12 0.88 2.53
Kuwait 54058 478 0.89 14913 386 3 0.78 0.71
Ukraine 53941 825 1.55 17326 1389 27 1.98 2.58
Netherlands 51136 81 0.16 1426 6156 1 0.02 12.04
Bolivia 47200 1635 3.59 23688 1754 52 3.06 3.72
Portugal 46221 542 1.19 7380 1654 8 0.49 3.58
Singapore 45783 169 0.37 3950 26 0 0.00 0.06
Panama 44332 1075 2.49 19110 893 30 3.48 2.01
Dominican Republic 43114 1199 2.86 17336 880 16 1.85 2.04
Poland 37521 305 0.82 5901 1568 6 0.38 4.18
Israel 37464 1198 3.30 16831 354 3 0.85 0.94
Afghanistan 34366 172 0.50 5942 994 23 2.37 2.89
Switzerland 32817 127 0.39 1574 1968 2 0.10 6.00
Bahrain 32470 431 1.35 11139 104 0 0.00 0.32
Romania 32079 698 2.22 8349 1871 24 1.30 5.83
Nigeria 31987 664 2.12 12179 724 15 2.12 2.26
Armenia 31392 489 1.58 11684 559 13 2.38 1.78
Guatemala 28598 979 3.54 15843 1172 33 2.90 4.10
Honduras 27583 530 1.96 15277 771 21 2.80 2.80
Ireland 25611 22 0.09 237 1746 2 0.11 6.82
Ghana 24248 414 1.74 10531 135 0 0.00 0.56
Azerbaijan 23521 531 2.31 11283 298 6 2.05 1.27
Japan 21430 386 1.83 3705 982 0 0.00 4.58
Moldova 19208 284 1.50 5255 640 5 0.79 3.33
Austria 18783 74 0.40 1460 706 0 0.00 3.76
Algeria 18712 470 2.58 7081 1004 8 0.80 5.37
Serbia 18073 345 1.95 5270 382 12 3.24 2.11
Nepal 16719 70 0.42 8114 38 3 8.57 0.23
Morocco 15542 214 1.40 5703 245 2 0.82 1.58
Cameroon 15173 257 1.72 3563 359 0 0.00 2.37
Korea, South 13417 44 0.33 996 289 1 0.35 2.15
Denmark 13147 0 0.00 556 609 0 0.00 4.63
Czechia 13115 114 0.88 2667 352 0 0.00 2.68
Uzbekistan 12513 486 4.04 6360 57 3 5.56 0.46
Cote d’Ivoire 12443 391 3.24 5167 82 1 1.23 0.66
Kyrgyzstan 10410 500 5.05 7429 129 4 3.20 1.24
Sudan 10250 46 0.45 1670 650 1 0.15 6.34

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 401029 730 0.18 13757 32343 12 0.04 8.07 20614.68 1662.57 1 in 49
California 318761 7876 2.53 143548 7027 72 1.04 2.20 8067.40 177.84 1 in 124
Florida 254511 10360 4.24 160714 4197 95 2.32 1.65 11849.99 195.41 1 in 84
Texas 254415 9659 3.95 144834 3138 76 2.48 1.23 8774.18 108.22 1 in 114
New Jersey 174959 331 0.19 6125 15525 46 0.30 8.87 19697.73 1747.88 1 in 51
Illinois 154094 1195 0.78 17990 7369 24 0.33 4.78 12160.37 581.53 1 in 82
Arizona 119930 3038 2.60 69803 2151 69 3.31 1.79 15749.40 282.47 1 in 63
Georgia 114401 3184 2.86 50592 2996 31 1.05 2.62 10774.84 282.18 1 in 93
Massachusetts 111398 288 0.26 4462 8310 14 0.17 7.46 16029.64 1195.77 1 in 62
Pennsylvania 99216 734 0.75 13626 6897 17 0.25 6.95 7750.05 538.74 1 in 129
North Carolina 83906 1874 2.28 32516 1513 16 1.07 1.80 8000.13 144.26 1 in 125
Louisiana 76803 2167 2.90 27418 3403 23 0.68 4.43 16521.06 732.02 1 in 61
Michigan 76370 685 0.91 8825 6313 28 0.45 8.27 7647.05 632.13 1 in 131
Maryland 72467 557 0.77 8511 3310 7 0.21 4.57 11986.58 547.50 1 in 83
Virginia 69782 851 1.23 12339 1962 4 0.20 2.81 8175.48 229.86 1 in 122
Ohio 64214 1358 2.16 19953 3036 4 0.13 4.73 5493.49 259.73 1 in 182
Tennessee 61006 1460 2.45 26560 738 15 2.07 1.21 8927.92 108.00 1 in 112
South Carolina 54699 2280 4.35 30943 951 22 2.37 1.74 10623.82 184.71 1 in 94
Alabama 51947 1439 2.85 22398 1114 10 0.91 2.14 10594.54 227.20 1 in 94
Indiana 51079 779 1.55 9018 2756 8 0.29 5.40 7587.25 409.37 1 in 132
Connecticut 47287 0 0.00 1572 4348 0 0.00 9.19 13263.17 1219.54 1 in 75
Minnesota 41571 804 1.97 9104 1537 4 0.26 3.70 7371.23 272.54 1 in 136
Washington 39218 0 0.00 10993 1424 0 0.00 3.63 5150.17 187.00 1 in 194
Colorado 36573 400 1.11 6240 1725 1 0.06 4.72 6350.87 299.54 1 in 157
Wisconsin 35679 926 2.66 11140 821 7 0.86 2.30 6127.85 141.01 1 in 163
Mississippi 35419 797 2.30 14778 1230 15 1.23 3.47 11900.95 413.29 1 in 84
Iowa 34658 486 1.42 9162 748 5 0.67 2.16 10984.86 237.08 1 in 91
Utah 28855 632 2.24 11787 212 5 2.42 0.73 9000.43 66.13 1 in 111
Arkansas 27864 1061 3.96 12722 319 6 1.92 1.14 9233.14 105.71 1 in 108
Missouri 27606 537 1.98 9550 1091 7 0.65 3.95 4497.98 177.76 1 in 222
Nevada 26838 930 3.59 13862 592 13 2.25 2.21 8713.20 192.20 1 in 115
Nebraska 20998 221 1.06 3291 285 -1 -0.35 1.36 10855.00 147.33 1 in 92
Oklahoma 19779 687 3.60 9741 421 5 1.20 2.13 4998.52 106.39 1 in 200
Kentucky 19121 449 2.40 5491 622 2 0.32 3.25 4279.86 139.22 1 in 234
Kansas 18687 384 2.10 6590 295 2 0.68 1.58 6414.34 101.26 1 in 156
Rhode Island 17312 0 0.00 975 976 0 0.00 5.64 16341.93 921.31 1 in 61
New Mexico 14773 224 1.54 4343 543 4 0.74 3.68 7045.40 258.96 1 in 142
Delaware 12743 91 0.72 2062 517 0 0.00 4.06 13086.33 530.93 1 in 76
Oregon 11851 397 3.47 5279 232 0 0.00 1.96 2809.80 55.01 1 in 356
District of Columbia 10801 58 0.54 817 568 0 0.00 5.26 15304.31 804.82 1 in 65
Idaho 10506 577 5.81 6502 102 1 0.99 0.97 5862.51 56.92 1 in 171
Puerto Rico 9366 229 2.51 2903 167 8 5.03 1.78 2932.65 52.29 1 in 341
South Dakota 7454 53 0.72 1229 109 2 1.87 1.46 8425.85 123.21 1 in 119
New Hampshire 6024 33 0.55 506 391 1 0.26 6.49 4430.35 287.56 1 in 226
North Dakota 4243 88 2.12 992 87 2 2.35 2.05 5567.79 114.16 1 in 180
West Virginia 4146 163 4.09 1646 96 1 1.05 2.32 2319.90 53.72 1 in 431
Maine 3520 21 0.60 582 112 1 0.90 3.18 2618.63 83.32 1 in 382
Wyoming 1839 49 2.74 660 21 0 0.00 1.14 3177.49 36.28 1 in 315
Montana 1677 84 5.27 979 29 1 3.57 1.73 1569.08 27.13 1 in 637
Alaska 1385 62 4.69 644 17 0 0.00 1.23 1893.25 23.24 1 in 528
Vermont 1283 6 0.47 136 56 0 0.00 4.36 2056.13 89.75 1 in 486
Hawaii 1200 42 3.63 411 19 0 0.00 1.58 847.53 13.42 1 in 1180

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4610777 401029 8.70 1282984 13757 1.07 237014.55
2 California 5275695 318761 6.04 2041283 143548 7.03 133520.58
3 Florida 2475299 254511 10.28 914027 160714 17.58 115249.53
4 Texas 2429624 254415 10.47 966226 144834 14.99 83792.04
5 New Jersey 1661284 174959 10.53 442411 6125 1.38 187035.40
6 Illinois 1945220 154094 7.92 607252 17990 2.96 153507.53
7 Arizona 683990 119930 17.53 278710 69803 25.05 89822.67
8 Georgia 1064873 114401 10.74 370489 50592 13.66 100294.86
9 Massachusetts 946334 111398 11.77 181397 4462 2.46 136172.90
10 Pennsylvania 912323 99216 10.88 264596 13626 5.15 71264.16
11 North Carolina 1176058 83906 7.13 444717 32516 7.31 112132.78
12 Louisiana 924447 76803 8.31 319631 27418 8.58 198857.38
13 Michigan 1274122 76370 5.99 379488 8825 2.33 127579.88
14 Maryland 629277 72467 11.52 166997 8511 5.10 104087.05
15 Virginia 786335 69782 8.87 254931 12339 4.84 92125.04
16 Ohio 983035 64214 6.53 353070 19953 5.65 84098.43
17 Tennessee 1007114 61006 6.06 331774 26560 8.01 147385.97
18 South Carolina 488090 54699 11.21 191841 30943 16.13 94798.43
19 Alabama 502020 51947 10.35 162497 22398 13.78 102386.51
20 Indiana 558146 51079 9.15 156344 9018 5.77 82906.69
21 Connecticut 558209 47287 8.47 166554 1572 0.94 156567.76
22 Minnesota 742095 41571 5.60 250052 9104 3.64 131585.71
23 Washington 668466 39218 5.87 212525 10993 5.17 87784.03
24 Colorado 385861 36573 9.48 112792 6240 5.53 67004.46
25 Wisconsin 685584 35679 5.20 206482 11140 5.40 117748.69
26 Mississippi 334343 35419 10.59 95628 14778 15.45 112340.81
27 Iowa 368361 34658 9.41 118154 9162 7.75 116752.08
28 Utah 405352 28855 7.12 112475 11787 10.48 126437.09
29 Arkansas 369649 27864 7.54 127415 12722 9.98 122488.55
30 Missouri 474550 27606 5.82 163435 9550 5.84 77320.66
31 Nevada 341233 26838 7.87 102270 13862 13.55 110784.32
32 Nebraska 203854 20998 10.30 52000 3291 6.33 105383.15
33 Oklahoma 419816 19779 4.71 137854 9741 7.07 106095.29
34 Kentucky 437902 19121 4.37 120741 5491 4.55 98015.68
35 Kansas 217779 18687 8.58 70130 6590 9.40 74753.01
36 Rhode Island 166655 17312 10.39 -47934 975 -2.03 157316.53
37 New Mexico 403581 14773 3.66 118979 4343 3.65 192472.06
38 Delaware 134115 12743 9.50 41699 2062 4.94 137728.44
39 Oregon 292183 11851 4.06 98088 5279 5.38 69274.83
40 District of Columbia 124050 10801 8.71 46097 817 1.77 175770.71
41 Idaho 122349 10506 8.59 51153 6502 12.71 68272.64
43 South Dakota 89606 7454 8.32 17691 1229 6.95 101288.75
44 New Hampshire 132302 6024 4.55 26735 506 1.89 97301.56
45 North Dakota 120851 4243 3.51 26620 992 3.73 158584.21
46 West Virginia 203823 4146 2.03 55427 1646 2.97 114049.38
47 Maine 118427 3520 2.97 38851 582 1.50 88101.43
48 Wyoming 39916 1839 4.61 3436 660 19.21 68968.26
49 Montana 113359 1677 1.48 43829 979 2.23 106064.12
50 Alaska 143376 1385 0.97 56458 644 1.14 195990.68
51 Vermont 75032 1283 1.71 18004 136 0.76 120245.71
52 Hawaii 92234 1200 1.30 25500 411 1.61 65142.89

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 254427 7827 3.17 140325 55.15 103516 10289 173 1.71 4.04
Tamil Nadu 138470 4244 3.16 89532 64.66 46972 1966 68 3.58 1.42
Delhi 112494 1573 1.42 89968 79.98 19155 3371 37 1.11 3.00
Gujarat 41906 879 2.14 29198 69.67 10662 2046 13 0.64 4.88
Karnataka 38843 2627 7.25 15411 39.68 22742 686 71 11.54 1.77
Uttar Pradesh 36476 1384 3.94 23334 63.97 12208 934 21 2.30 2.56
Telangana 34671 1269 3.80 22482 64.84 11833 356 8 2.30 1.03
West Bengal 30013 1560 5.48 18581 61.91 10500 932 26 2.87 3.11
Andhra Pradesh 29168 1933 7.10 15412 52.84 13428 328 19 6.15 1.12
Rajasthan 24392 644 2.71 18103 74.22 5779 510 7 1.39 2.09
Haryana 21240 658 3.20 15983 75.25 4956 301 4 1.35 1.42
Madhya Pradesh 17632 431 2.51 12876 73.03 4103 653 9 1.40 3.70
Assam 16807 735 4.57 10895 64.82 5868 41 4 10.81 0.24
Bihar 16305 1266 8.42 11953 73.31 4227 125 7 5.93 0.77
Odisha 13121 595 4.75 8750 66.69 4287 84 5 6.33 0.64
Jammu and Kashmir 10513 357 3.52 5979 56.87 4355 179 10 5.92 1.70
Kerala 7874 435 5.85 4095 52.01 3743 32 2 6.67 0.41
Punjab 7821 234 3.08 5392 68.94 2230 199 4 2.05 2.54
Chhattisgarh 4081 184 4.72 3153 77.26 909 19 2 11.76 0.47
Jharkhand 3760 97 2.65 2308 61.38 1421 31 7 29.17 0.82
Uttarakhand 3537 120 3.51 2786 78.77 674 47 1 2.17 1.33
State Unassigned 3024 -392 -11.48 0 0.00 3024 0 0 NaN 0.00
Goa 2453 85 3.59 1487 60.62 952 14 2 16.67 0.57
Tripura 2067 105 5.35 1421 68.75 630 2 0 0.00 0.10
Manipur 1609 16 1.00 896 55.69 713 0 0 NaN 0.00
Puducherry 1418 82 6.14 739 52.12 661 18 0 0.00 1.27
Himachal Pradesh 1213 31 2.62 916 75.52 274 10 0 0.00 0.82
Ladakh 1086 9 0.84 928 85.45 157 1 0 0.00 0.09
Nagaland 774 26 3.48 327 42.25 447 0 0 NaN 0.00
Chandigarh 559 10 1.82 417 74.60 134 8 0 0.00 1.43
Dadra and Nagar Haveli and Daman and Diu 499 17 3.53 268 53.71 226 1 0 0.00 0.20
Arunachal Pradesh 360 19 5.57 138 38.33 220 2 0 0.00 0.56
Meghalaya 295 33 12.60 45 15.25 248 2 0 0.00 0.68
Mizoram 231 4 1.76 150 64.94 81 0 0 NaN 0.00
Sikkim 164 4 2.50 81 49.39 70 0 0 NaN 0.00
Andaman and Nicobar Islands 163 7 4.49 100 61.35 63 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1133387 94972 67 0.07 8.38 173 29 8212 16740 17.63
Piemonte 447166 31494 9 0.03 7.04 190 9 1069 4111 13.05
Emilia-Romagna 544888 28869 47 0.16 5.30 93 10 1119 4269 14.79
Veneto 1059816 19379 10 0.05 1.83 20 3 398 2039 10.52
Toscana 368488 10321 5 0.05 2.80 7 3 330 1122 10.87
Liguria 161991 10031 6 0.06 6.19 26 0 253 1559 15.54
Lazio 364876 8294 19 0.23 2.27 198 13 915 844 10.18
Marche 148103 6803 4 0.06 4.59 4 0 169 987 14.51
P.A. Trento 132803 4881 2 0.04 3.68 2 0 28 405 8.30
Campania 301677 4769 7 0.15 1.58 47 0 242 432 9.06
Puglia 199805 4541 1 0.02 2.27 12 0 71 546 12.02
Friuli Venezia Giulia 211002 3335 2 0.06 1.58 1 0 79 345 10.34
Abruzzo 114219 3323 2 0.06 2.91 25 0 147 464 13.96
Sicilia 233658 3099 1 0.03 1.33 6 0 123 283 9.13
P.A. Bolzano 90420 2661 3 0.11 2.94 6 0 82 292 10.97
Umbria 105383 1448 0 0.00 1.37 4 0 8 80 5.52
Sardegna 92286 1372 0 0.00 1.49 3 0 9 134 9.77
Valle d’Aosta 19409 1196 0 0.00 6.16 2 0 3 146 12.21
Calabria 104475 1188 2 0.17 1.14 4 0 29 97 8.16
Molise 24446 445 0 0.00 1.82 0 0 12 23 5.17
Basilicata 42254 406 1 0.25 0.96 3 0 5 27 6.65

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 56407 91 0.16 5620 8 0.14 9.96 6606.83 658.26 1 in 151
Ontario 38398 75 0.20 2760 0 0.00 7.19 2610.01 187.60 1 in 383
Alberta 8596 0 0.00 160 -1 -0.62 1.86 1947.82 36.26 1 in 513
British Columbia 3053 0 0.00 187 0 0.00 6.13 597.35 36.59 1 in 1674
Nova Scotia 1066 0 0.00 63 0 0.00 5.91 1090.59 64.45 1 in 917
Saskatchewan 815 0 0.00 15 0 0.00 1.84 689.70 12.69 1 in 1450
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 262 0 0.00 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 166 0 0.00 2 0 0.00 1.20 212.82 2.56 1 in 4699
Prince Edward Island 33 0 0.00 0 0 NaN 0.00 208.65 0.00 1 in 4793
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1648 8 0.49
Hong Kong 1431 7 0.49
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 792 7 0.88
Shanghai 724 7 0.97
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 245 1 0.41
Tianjin 203 3 1.48
Shanxi 200 0 0.00
Yunnan 187 2 1.07
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 9920.31 411.91 1 in 101
Brazil 8790.49 341.47 1 in 114
India 634.45 16.93 1 in 1576
Russia 4978.89 77.43 1 in 201
Peru 10031.40 363.13 1 in 100
Chile 17286.93 381.22 1 in 58
Mexico 2285.36 268.81 1 in 438
United Kingdom 4372.43 675.54 1 in 229
South Africa 4657.69 70.01 1 in 215
Iran 3143.38 155.68 1 in 318
Spain 5441.66 608.72 1 in 184
Pakistan 1263.31 26.38 1 in 792
Italy 4015.00 577.79 1 in 249
Saudi Arabia 6966.61 66.21 1 in 144
Turkey 2623.20 66.13 1 in 381
France 3105.16 447.93 1 in 322
Germany 2412.24 109.55 1 in 415
Bangladesh NA NA 1 in NA
Colombia 2868.88 106.01 1 in 349
Canada 2903.70 234.58 1 in 344

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 218710 23278 10.64
Los Angeles California 130394 3795 2.91
Cook Illinois 95138 4711 4.95
Maricopa Arizona 78481 1093 1.39
Miami-Dade Florida 60868 1132 1.86
Harris Texas 43939 455 1.04
Nassau New York 42267 2190 5.18
Suffolk New York 41987 1993 4.75
Westchester New York 35260 1433 4.06
Dallas Texas 32626 449 1.38
Broward Florida 28253 455 1.61
Philadelphia Pennsylvania 27367 1636 5.98
Riverside California 24765 537 2.17
Middlesex Massachusetts 24436 1913 7.83
Orange California 23901 421 1.76
Wayne Michigan 23898 2758 11.54
Clark Nevada 22286 483 2.17
Suffolk Massachusetts 20272 1018 5.02
Palm Beach Florida 19847 594 2.99
Bergen New Jersey 19847 2028 10.22
Prince George’s Maryland 19598 706 3.60
San Diego California 19371 422 2.18
Hudson New Jersey 19089 1482 7.76
Essex New Jersey 18988 2070 10.90
San Bernardino California 18912 304 1.61
Bexar Texas 18602 166 0.89
Hillsborough Florida 18360 187 1.02
Tarrant Texas 17334 262 1.51
Passaic New Jersey 17050 1219 7.15
Middlesex New Jersey 17020 1375 8.08
Fairfield Connecticut 16906 1380 8.16
Orange Florida 16630 80 0.48
Union New Jersey 16471 1343 8.15
Essex Massachusetts 16452 1136 6.90
Montgomery Maryland 15623 757 4.85
Mecklenburg North Carolina 14607 159 1.09
Fairfax Virginia 14403 498 3.46
Salt Lake Utah 14336 130 0.91
Travis Texas 14304 166 1.16
Rockland New York 13700 670 4.89
Milwaukee Wisconsin 13661 398 2.91
Shelby Tennessee 13423 223 1.66
Hennepin Minnesota 13328 790 5.93
Davidson Tennessee 13162 143 1.09
Providence Rhode Island 13144 0 0.00
Oakland Michigan 12642 1108 8.76
Worcester Massachusetts 12629 958 7.59
New Haven Connecticut 12532 1079 8.61
Duval Florida 12287 76 0.62
Marion Indiana 12019 693 5.77
Hartford Connecticut 11892 1385 11.65
Franklin Ohio 11724 445 3.80
King Washington 11568 633 5.47
Pima Arizona 11443 326 2.85
Gwinnett Georgia 11074 182 1.64
Jefferson Louisiana 10995 491 4.47
Orange New York 10830 484 4.47
District of Columbia District of Columbia 10801 568 5.26
Pinellas Florida 10596 229 2.16
Fulton Georgia 10354 324 3.13
Lake Illinois 10318 428 4.15
Ocean New Jersey 9804 997 10.17
DuPage Illinois 9641 485 5.03
Norfolk Massachusetts 9440 957 10.14
Monmouth New Jersey 9437 834 8.84
Puerto Rico 9366 167 1.78
El Paso Texas 9099 150 1.65
Cuyahoga Ohio 8979 393 4.38
Lee Florida 8848 186 2.10
Montgomery Pennsylvania 8828 829 9.39
Plymouth Massachusetts 8802 678 7.70
Baltimore Maryland 8675 497 5.73
Orleans Louisiana 8598 540 6.28
Bristol Massachusetts 8442 598 7.08
Baltimore City Maryland 8367 364 4.35
DeKalb Georgia 8144 181 2.22
Yuma Arizona 8143 136 1.67
Kane Illinois 8078 281 3.48
Douglas Nebraska 7954 97 1.22
Yakima Washington 7934 185 2.33
Fresno California 7906 87 1.10
Denver Colorado 7832 394 5.03
Imperial California 7827 135 1.72
Out of GA Georgia 7827 50 0.64
Macomb Michigan 7784 928 11.92
Mercer New Jersey 7778 600 7.71
Prince William Virginia 7769 156 2.01
St. Louis Missouri 7761 597 7.69
Alameda California 7725 148 1.92
Erie New York 7711 644 8.35
Camden New Jersey 7670 546 7.12
Delaware Pennsylvania 7513 668 8.89
Hidalgo Texas 7334 123 1.68
Polk Iowa 7332 184 2.51
Charleston South Carolina 7272 59 0.81
Will Illinois 7223 325 4.50
Wake North Carolina 7204 66 0.92
East Baton Rouge Louisiana 6989 278 3.98
Polk Florida 6983 138 1.98
Hampden Massachusetts 6974 674 9.66

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc